Hippocampal and Retrosplenial Goal Distance Coding After Long-term Consolidation of a Real-World Environment
Open accessPublished version of a preprint
Abstract
Abstract Recent research indicates the hippocampus may code the distance to the goal during navigation of newly learned environments. It is unclear however, whether this also pertains to highly familiar environments where extensive systems-level consolidation is thought to have transformed mnemonic representations. Here we recorded fMRI while University College London and Imperial College London students navigated virtual simulations of their own familiar campus (> 2 years of exposure) and the other campus learned days before scanning. Posterior hippocampal activity tracked the proximity to the goal in the newly learned campus, but not in the familiar campus. By contrast retrosplenial cortex tracked the distance to the goal in the familiar campus, but not in the recently learned campus. These responses were abolished when participants were guided to their goal by external cues. These results open new avenues of research on navigation and consolidation of spatial information and help advance models of how neural circuits support navigation in novel and highly familiar environments. Significance Statement Historically, research on the hippocampal formation has focused on its role in long-term memory and navigation – often in isolation. No study to date has directly compared realistic navigation within familiar with recently learned environments, nor has it been explored how the neural substrates, along with computational codes, may change. In this study, we show for the first time, a shift from hippocampal to cortical coding of distance to a goal during active navigation. This study bridges the gap between memory consolidation and navigation, and paves the way for more functional and realistic understanding of the hippocampus.
AI snapshot
Written from the paper’s full text.
TL;DR
In a within-subject fMRI study, students navigated virtual simulations of their own long-familiar university campus and a campus learned days earlier. The right posterior hippocampus tracked goal distance in the recently learned campus and in familiar environments only when many turns lay ahead, whereas retrosplenial cortex tracked goal distance only in the familiar campus.
Key findings
- During travel in the recently learned campus, right midposterior hippocampal activity showed a significant negative correlation with path distance to the goal, increasing with proximity to the goal; this was absent in the familiar campus and in control routes.
- In the familiar campus, hippocampal activity showed a significant positive correlation with path distance, but only when the upcoming route contained many turns (≥3); there was no significant correlation with few turns (<3).
- Retrosplenial cortex showed a significant positive correlation with path distance during travel in the familiar campus, greatest when participants were farthest from the goal; this was absent in the recent campus and control conditions.
- Behaviorally, participants were more accurate at decision points in the familiar campus (M = 89.9%, SD = 11%) than the recent campus (M = 80.4%, SD = 13%; t[24] = 3.6, P = 0.002) and responded faster in the familiar campus (1.19 ± 0.4 s vs. 1.39 ± 0.5 s; t[24] = −4.7, P < 0.001). They reported more planning at decision points in the recent environment (22%) than the familiar environment (8%; t < −2.9, P < 0.006).
Methods
- Final sample: 25 students (12 UCL, 13 Imperial; mean age 23 years, range 20–26; 12 males, 13 females) who had studied at their own campus for at least 2 years and had little or no familiarity with the other campus.
- Participants learned 10 goal locations, 18 streets, and 8 start points in both environments, including a guided real-world tour of both campuses in the days before scanning; fMRI used virtual Google Street View-based routes with active navigation and control “follow” blocks.
- fMRI analysis used SPM12 with a priori small-volume correction masks for right mid/posterior hippocampus and retrosplenial cortex; path distance, Euclidean distance, and egocentric goal direction were modeled as parametric regressors, with focus on Travel Periods and Decision Points.
Limitations
- The paper states that scanner coverage made it impossible to assess entorhinal cortex contributions to distance coding, unlike Howard et al. (2014).
- The paper states that ecological validity required lower trial numbers per condition, though the two main periods of interest had >20 events per condition; control analyses separating travel midpoints replicated the hippocampal effect only with mid-hippocampal small-volume correction and did not replicate the retrosplenial effect, instead finding precuneus/parietal–occipital sulcus effects.
- Evident from the text: the study used a modest sample (n = 25), a 1.5 T scanner, virtual rather than real-world navigation, and only two campus environments; path distance and Euclidean distance were highly correlated, and the authors note that environment structure, size, and visual detail may influence the direction of hippocampal goal-distance coding.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 48 cited sources checked · 0 supported · 0 flagged
- Findingown data
The hippocampal and retrosplenial distance-to-goal responses were abolished when participants were guided to their goal by external cues.
“All of these responses were abolished when participants were guided to their goal by external cues.”
Quote in the paperSubstantial claim- Rests on an assumption: The crucial difference between the familiar and recent environments was the long-term (>2 year) prior knowledge of one campus, after both campuses were intensively trained in the preceding days.
- Findingown data
There was no correlation between planning and accuracy (all r > −0.16, P > 0.1).
“However, there was no correlation between planning and accuracy (all r>−0.16, P > 0.1).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' debriefing reports accurately reflect their planning during scanning.
- Findingown data
Posterior hippocampal activity tracked the distance to the goal in the newly learned campus.
“Posterior hippocampal activity tracked the distance to the goal in the newly learned campus”
Quote in the paperSubstantial claim- Rests on an assumption: The crucial difference between the familiar and recent environments was the long-term (>2 year) prior knowledge of one campus, after both campuses were intensively trained in the preceding days.
- Findingown data
There were no clear differences when comparing familiar to recent navigation.
“There were no clear differences when comparing familiar to recent navigation (Fig. S2 and Supplementary Results).”
Quote in the paperNot a substantial claim - Findingown data
Posterior hippocampal activity tracked the distance to the goal in familiar environments when the future route contained many turns.
“as well as in familiar environments when the future route contained many turns”
Quote in the paperSubstantial claim- Rests on an assumption: The crucial difference between the familiar and recent environments was the long-term (>2 year) prior knowledge of one campus, after both campuses were intensively trained in the preceding days.
- Findingown data
Participants reported more planning at Decision Points in the recent environment (familiar: 8%, recent: 22%, t < −2.9, P < 0.006).
“participants did report more planning at Decisions Points in the recent environment (familiar: 8%, recent: 22%, t<−2.9, P < 0.006).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' debriefing reports accurately reflect their planning during scanning.
- Findingown data
A global mask involving the sum of a priori regions for remote memory did not reveal any significant clusters.
“A global mask involving the sum of a priori regions for remote memory did not reveal any significant clusters, but targeted ROIs for hippocampus and retrosplenial cortex did reveal significant effects and are reported below.”
Quote in the paperNot a substantial claim - Findingown data
Participants responded more quickly in their familiar environment (Familiar = 1.19 ± 0.4 s, Recent = 1.39 ± 0.5 s, t[24] = −4.7, P < 0.001).
“Participants responded more quickly in their familiar environment (Familiar = 1.19 ± 0.4 s, Recent = 1.39 ± 0.5 s, t[24] = −4.7, P < 0.001)”
Quote in the paperNot a substantial claim - Findingown data
Reaction times scaled with distance to the goal along the future path in both environments (across subjects and junctions, both environments r[124] > 0.24, P < 0.01).
“reaction times scaled with distance to the goal along the future path (across subjects and junctions, both environments r[124]>0.24, P < 0.01, Table S2).”
Quote in the paperSubstantial claim - Findingown data
Retrosplenial cortex tracked the distance to the goal only in the familiar campus.
“By contrast retrosplenial cortex only tracked the distance to the goal in the familiar campus.”
Quote in the paperSubstantial claim- Rests on an assumption: The crucial difference between the familiar and recent environments was the long-term (>2 year) prior knowledge of one campus, after both campuses were intensively trained in the preceding days.
- Findingown data
Targeted ROIs for hippocampus and retrosplenial cortex did reveal significant effects.
“A global mask involving the sum of a priori regions for remote memory did not reveal any significant clusters, but targeted ROIs for hippocampus and retrosplenial cortex did reveal significant effects and are reported below.”
Quote in the paperSubstantial claim - Findingown data
Reaction times at Decision Points in recent environments correlated with amount of planning at Decision Points (both familiar and recent; r = 0.42, P < 0.033), such that less planning at DPs meant quicker responses.
“RTs at Decision Points in recent environments correlated with amount of planning at Decision Points (both familiar and recent; r = 0.42, P < 0.033), such that less planning at DPs meant quicker responses.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' debriefing reports accurately reflect their planning during scanning.
- Findingown data
Participants who planned more in familiar environments also planned more in recent ones (r = 0.6, P = 0.001).
“We also found that participants who planned more in familiar environments also planned more in recent ones (r = 0.6, P = 0.001).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' debriefing reports accurately reflect their planning during scanning.
- Findingown data
The positive correlation between retrosplenial cortex activity and path distance during Travel was absent in the recent environment and control conditions.
“This response was absent in the recent environment and during the control conditions (Fig. 3A, right panel).”
Quote in the paperSubstantial claim - Findingown data
During Travel periods in recently learned environments, right midposterior hippocampal activity was significantly negatively correlated with path distance to the goal, indicating activity increased with proximity to the goal.
“During Travel Periods when navigating the recently learned environment, we found a significant negative correlation with the distance to the goal in the right midposterior hippocampus (Fig. 2A and Table S4), indicating that hippocampal activity increased with proximity to the goal.”
Quote in the paperSubstantial claim - Findingown data
During Travel periods with many upcoming turns (≥3) in familiar environments, there was a significant hippocampal cluster positively correlated with path distance.
“For Travel periods with many upcoming turns (≥3) in the familiar environments there was a significant hippocampal cluster, positively correlated with path distance in the Travel events with many turns (Fig. 2B).”
Quote in the paperSubstantial claim - Findingown data
Both the hippocampal and retrosplenial effects were absent from the New Street Entry only models.
“Both the hippocampal and retrosplenial effects were absent from the New Street Entry only models”
Quote in the paperSubstantial claim - Findingown data
During Travel periods in familiar environments, retrosplenial cortex activity was significantly positively correlated with path distance to the goal, indicating activity was greatest when participants were farthest from the goal.
“During Travel Periods of navigation routes in the familiar environment we observed a significant positive correlation with distance in the retrosplenial cortex (Fig. 3 and Table S4), indicating the activity was greatest when participants were farthest from their goal.”
Quote in the paperSubstantial claim - Findingown data
Even at liberal thresholds, activity in anterior cingulate cortex, caudate, and parahippocampal cortices was not significantly correlated with distance to the goal during Travel Periods in either recent or familiar environments.
“Even at liberal thresholds, activity in our other predicted ROIs (anterior cingulate cortex, caudate and parahippocampal cortices) was not significantly correlated with distance to the goal during Travel Periods in either recent or familiar environments (Fig. S3).”
Quote in the paperSubstantial claim - Findingown data
The negative correlation between right hippocampal activity and path distance during Travel was absent in the familiar environment and control routes.
“This effect was absent in the familiar environment and the control routes (Fig. 2A, right panel).”
Quote in the paperSubstantial claim - Findingown data
Right posterior hippocampal activity was significantly more correlated with proximity to the goal during navigation in the recently learned environment than in the other conditions combined.
“Moreover, right posterior hippocampal activity was significantly more correlated with proximity to the goal during navigation in the recently learned environment than in the other conditions combined (Fig. 2C and Table S4).”
Quote in the paperSubstantial claim - Findingown data
Retrosplenial activity was significantly more correlated with distance to the goal in familiar navigation routes than in the other conditions combined.
“Retrosplenial activity was significantly more correlated with the distance to the goal in familiar navigation routes than in the other conditions combined (Fig. 3B and Table S4).”
Quote in the paperSubstantial claim - Findingown data
In an analysis of Travel periods when the goal was straight ahead, for segments at least 7 s long, there was no evidence for coding in the hippocampus for recent navigation.
“We did not find any evidence for coding in the hippocampus for recent navigation, which may be due to the reduced power (overall fewer samples), or perhaps that given the visualization of the task, the goal was not actually visible on each panorama image and as such it wasn’t as clear as it would have been if it were a continuous movie stream.”
Quote in the paperNot a substantial claim - Findingown data
More generally, the hippocampus was more active when the goal was far away at Decision Points during navigation of recent environments.
“We also found more generally that the hippocampus was more active when the goal was far away at Decision Points during navigation of recent environments (see Supplementary Results, Fig. S6).”
Quote in the paperNot a substantial claim - Findingown data
In a model in which the number of upcoming turns was included as a parametric regressor for Travel instead of path distance, there were no effects in either recent or familiar environments.
“In addition, we also ran a model in which the number of upcoming turns was included as a parametric regressor for Travel (instead of PD), and found no effects in either recent or familiar environments.”
Quote in the paperNot a substantial claim - Interpretationown data
The hippocampus continues to play a role in navigation when detailed processing of the environment is needed for navigation.
“underscore the notion that the hippocampus continues to play a role in navigation when detailed processing of the environment is needed for navigation.”
Quote in the paperSubstantial claim- Rests on an assumption: The crucial difference between the familiar and recent environments was the long-term (>2 year) prior knowledge of one campus, after both campuses were intensively trained in the preceding days.
- Rests on an assumption: Extensive systems-level consolidation has transformed mnemonic representations in highly familiar environments.
- Premisereasoning
Neither prior study directly compared navigation in familiar with recently learned environments.
“Crucially, however, neither study directly compared navigation in familiar with recently learned environments.”
Quote in the paperSubstantial claim - Premisenone given
Only 2 prior fMRI experiments have examined navigation of familiar environments.
“Only 2 prior fMRI experiments have examined navigation of familiar environments.”
Quote in the paperSubstantial claim - Premisecitation
Neuropsychological evidence indicates that complex spatial memories acquired years in the past can become independent of the hippocampus.
“Neuropsychological evidence indicates that complex spatial memories acquired years in the past can become independent of the hippocampus (Teng and Squire 1999; Rosenbaum et al. 2000, 2005; Maguire et al. 2006; Herdman et al. 2015).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Another prior fMRI study involving residents of Toronto mentally navigating this city found no increased activity in the hippocampus.
“The other study involved residents of Toronto mentally navigating this city and found no increased activity in the hippocampus (Rosenbaum et al. 2004).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Rosenbaum et al. 2004 source
Not checked in the free run.
- Study design and conductown data
The two main periods of interest, Travel periods and Decision Points, were sufficiently powered.
“Therefore, we will focus only on Travel periods and Decision Points, as they have a sufficient number of events (>20 per condition). We opted for such a design to increase ecological validity of the task, which necessitates lower trial numbers per condition, however, the 2 main periods of interest were sufficiently powered.”
Quote in the paperSubstantial claim - Interpretationown data
When navigating highly familiar environments and the route ahead requires multiple decisions, the hippocampus appears engaged in coding the distance to the goal.
“Thus, when navigating highly familiar environments and the route ahead will require multiple decisions the hippocampus appears to be engaged in coding the distance to the goal.”
Quote in the paperSubstantial claim - Study design and conductown data
Egocentric goal direction was highly correlated with path distance.
“Note egocentric goal direction was also highly correlated with path distance (Table S1).”
Quote in the paperNot a substantial claim - Interpretationreasoning
A probable determinant of the relationship between hippocampal activity and goal distance is variation in the structure of the environment.
“A probable determinant of the relationship between hippocampal activity and goal distance is variation in the structure of the environment.”
Quote in the paperSubstantial claim- Rests on an assumption: The environment used by Howard et al. (2014) contained more junctions than the environments used in the present study, so most routes in that study likely required many turns.
- Rests on an assumption: Soho contains many more distinct landmarks than the campuses used in the present study.
- Interpretationreasoning
An environment with many intersections would likely require more planning and retrieval of the space, placing greater demands on neural regions responsible for coding the path to the goal when far from the goal.
“For example, an environment with many intersections would likely require more planning and retrieval of the space, placing greater demands on the neural regions responsible for coding the path to the goal when far from the goal.”
Quote in the paperSubstantial claim- Rests on an assumption: The environment used by Howard et al. (2014) contained more junctions than the environments used in the present study, so most routes in that study likely required many turns.
- Premisecitation
Prior fMRI studies using recently encountered environments containing less perceptual detail found that hippocampal activity increased with proximity to the goal.
“Consistent with this argument, prior fMRI studies using recently encountered environments containing less perceptual detail found that the hippocampal activity increased with proximity to the goal (Viard et al. 2011; Sherrill et al. 2013).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationcitation
The observation that distance tracking was specific to navigation routes and not present in control routes is consistent with prior evidence that such distance tracking is not automatic and requires goal-directed navigation.
“The observation that this was specific to navigation routes and not present in control routes is consistent with prior evidence (Howard et al. 2014) that such distance tracking is not automatic and requires goal-directed navigation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Howard et al. 2014 source
Not checked in the free run.
- Interpretationown data
The correlation with path distance was specific to Travel periods.
“emphasizing that the correlation with PD was specific to the Travel periods.”
Quote in the paperSubstantial claim - Interpretationcitation
The posterior locus of hippocampal activity found here agrees with the view that posterior hippocampus processes fine detail, such as spatial metric information.
“and the posterior locus agrees with the view that posterior hippocampus processes fine detail, such as spatial metric information (Poppenk et al. 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Poppenk et al. 2013 source
Not checked in the free run.
- Interpretationown data
In agreement with the proposal of MTT/TTT that the hippocampus would play a greater role in processing detailed memories after extensive consolidation, the present study found that hippocampal activity tracked distance to goal in familiar environments when detailed information about the future route was required.
“Finally, in agreement with the proposal of MTT/TTT that the hippocampus would play a greater role in the processing of detailed memories after extensive consolidation, we found that hippocampal activity tracked the distance to the goal in the familiar environments when detailed information about the future route was required.”
Quote in the paperSubstantial claim - Premisecitation
Several amnesic case studies have displayed impressive retention of spatial memories for environments learned before the onset of extensive hippocampal damage.
“Several amnesic case studies have displayed impressive retention of spatial memories for environments learned before the onset of extensive hippocampal damage (Teng and Squire 1999; Rosenbaum et al. 2000; Maguire et al. 2006; Herdman et al. 2015).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The present findings support the proposal that the retrosplenial cortex supports long-term spatial knowledge.
“Here we find evidence to support this proposal, revealing that the retrosplenial cortex specifically tracks the distance to the goal when the environment is familiar, but not when it has only recently been learned in the preceding days.”
Quote in the paperSubstantial claim - Interpretationown data
The present findings favor MTT/TTT over SCT.
“Our findings favor MTT/TTT.”
Quote in the paperSubstantial claim - Interpretationcitation
The observation that retrosplenial cortex only comes to code distance to goal after extended experience is consistent with reports of disorientation in highly familiar environments after retrosplenial lesions.
“It is also consistent with reports of disorientation in highly familiar environments after retrosplenial lesions (Aguirre and D’Esposito 1999; Maguire et al. 2001; Spiers and Maguire 2007b).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Aguirre and D’Esposito 1999
Not checked in the free run.
- cites Maguire et al. 2001 source
Not checked in the free run.
- cites Spiers and Maguire 2007b
Not checked in the free run.
- Interpretationnone given
The present fMRI study provides the first comparison of active navigation of both a recently learned and a highly familiar environment.
“In summary, our fMRI study provides the first comparison of active navigation of both a recently learned and a highly familiar environment.”
Quote in the paperSubstantial claim
- May combine two claims. 28
- Classified as probably not a substantial claim. 25
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataIn the pre-training assessment, participants in the familiar environment were on average 48% accurate on street names and 86% accurate on landmarks.
“In the familiar environment participants were on average 48% and 86% accurate on street names and landmarks, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was a significant effect of environment, type of information probed, and their interaction on pre-training assessment accuracy.
“Thus, there was a significant effect of environment (F[1,24] = 140.8,P < 0.001), type of information probed (F[1,24] = 48.9,P < 0.001), and interaction (F[1,24] = 14.8, P = 0.001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParticipants were able to orient themselves and make correct decisions at Decision Points in both environments, albeit better in their familiar campus.
“Behavioral results revealed that participants were able to orient themselves and make correct decisions at Decision Points in both environments, albeit better so in their familiar campus”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFamiliar campus accuracy at Decision Points was M = 89.9%, SD = 11%; recent campus accuracy was M = 80.4%, SD = 13%; paired t[24] = 3.6, P = 0.002.
“Familiar: M = 89.9%, SD = 11%; Recent: M = 80.4%, SD = 13%, paired sample t-test: t[24] = 3.6, P = 0.002”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was no correlation between SBSDS and NSQ scores, between these scores and performance in the scanner, or to the amount of planning reported.
“There was no correlation between the scores on these 2 questionnaires, between these scores and performance in the scanner, or to the amount of planning reported.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataA categorical analysis revealed more activity in lateral and medial parietal areas in familiar environments when actively navigating compared with just following along a route, whereas recent environments did not show such a distinction.
“A categorical analysis of different event types and task blocks revealed more activity in lateral and medial parietal areas in familiar environments when actively navigating (“navigation” condition) compared with just following along a route (“control” condition), whereas recent environments did not show such a distinction (Fig. S1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn the pre-training assessment, participants in the recent campus were on average 10% accurate on street names and 22% accurate on landmarks.
“Conversely, for the recent campus, they were only 10% accurate on the street names, and 22% for landmarks.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen examining Travel midpoints only, the right hippocampal effect in recent navigation was replicated, though it only survived a mid-hippocampal small-volume correction.
“When examining Travel midpoints only, we replicated the right hippocampal effect in recent navigation, though this only survived a mid-hippocampal SVC (Table S4)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere was no significant correlation between hippocampal activity and path distance when there were few turns (<3) in familiar environments or either type of Travel event in recent environments or during control routes.
“There was no significant correlation between hippocampal activity and path distance when there were few turns (<3) in familiar environments or either type of Travel event in the recent environments or during the control routes.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWhen examining Travel midpoints only, the retrosplenial cortex effect in familiar navigation routes was not replicated, but there was a positive correlation of path distance in the precuneus and parietal-occipital sulcus.
“however we did not replicate the retrosplenial cortex in familiar navigation routes, but there was a positive correlation of PD in the precuneus and parietal–occipital sulcus (Table S4).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhile Howard et al. (2014) found a positive correlation between posterior right hippocampal activity and distance, the present study observed a negative correlation in recently learned environments.
“However, while Howard et al. (2014) found a positive correlation between posterior right hippocampal activity and distance, we observed a negative correlation in the recently learned environments.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Howard et al. 2014 source
Not checked in the free run.
May combine two claims.
Findingown dataDuring navigation in recent environments, mid hippocampus was more active the further away and less directly ahead the goal was.
“During the navigation task in recent environments we found the mid hippocampus was more active the further away, and less directly ahead the goal was (see Table S4 for details of activation).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationIn recently learned environments, the hippocampus has been shown to encode the distance to the goal.
“In recently learned environments, the hippocampus has been shown to encode the distance to the goal (Spiers and Maguire 2007b; Viard et al. 2011; Sherrill et al. 2013; Howard et al. 2014; Chrastil et al. 2015; Balaguer et al. 2016; Spiers et al. 2017)”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Interpretationown dataParticipants had better knowledge about their own campus, and mainly its landmarks.
“underscoring the notion that participants did indeed have better knowledge about their own campus, and mainly its landmarks.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationCandidate neocortical regions for coding such information include the retrosplenial cortex, parahippocampal cortex, and anterior cingulate cortex.
“Candidate neocortical regions include the retrosplenial cortex (Takahashi et al. 1997; Epstein et al. 2007), parahippocampal cortex (Rosenbaum et al. 2004; Bohbot et al. (2015), for extensive reviews see Spiers and Maguire 2007b; Epstein 2008; Ranganath and Ritchey 2012; Miller et al. 2014), and the anterior cingulate cortex (Teixeira et al. 2006).”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Study design and conductreasoningThe order in which participants were trained on the campuses was counterbalanced across participants and familiarity.
“The order in which participants were trained on the campuses was counterbalanced across participants and familiarity”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe order of routes within campuses was counterbalanced, while navigation and control conditions, or routes between campuses, were interleaved across participants.
“The order of routes within campuses was counterbalanced, while either navigation and control conditions, or routes between campuses were interleaved across participants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationCurrent models argue that through systems consolidation, neocortical regions may come to code distance/direction information in extensively learned environments.
“Current models argue that through systems consolidation, neocortical regions may come to code such information in extensively learned environments (Spiers and Maguire 2007b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spiers and Maguire 2007b
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe training order was counterbalanced to ensure that the familiar campus was also recently visited in its entirety, thereby removing confounding effects of recency of exposure rather than age of memory.
“The order in which participants were trained on the campuses was counterbalanced across participants and familiarity, and was done to ensure that the familiar campus was also recently visited in its entirety, thereby removing any confounding effects of just the recency of exposure (rather than the age of the memory itself).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted). May combine two claims.
PremisecitationSCT argues that initially the hippocampus is involved in processing spatial memories, and that over time representations in neocortical regions are strengthened, reducing the demand on the hippocampus.
“the standard consolidation theory (SCT) argues that initially the hippocampus is involved in processing the spatial memories, and that over time the representations in neocortical regions are strengthened, reducing the demand on the hippocampus (Squire 1992; Squire and Zola-Morgan 1998).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Squire 1992 source
Not checked in the free run.
- cites Squire and Zola-Morgan 1998
Not checked in the free run.
May combine two claims.
PremisecitationA subsequent longitudinal fMRI study showed that participants newly arrived to a city initially relied on the hippocampus for navigation but after 6 months could navigate without evidence of hippocampal involvement.
“In a subsequent longitudinal, fMRI study, Hirshhorn, Grady, Rosenbaum, Winocur, and Moscovitch (2012) showed that participants who were newly arrived to a city, initially relied on the hippocampus for navigation but after 6 months could navigate without evidence of hippocampal involvement.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hirshhorn, Grady, Rosenbaum, Winocur, and Moscovitch (2012)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne prior fMRI study involving London taxi drivers navigating a virtual simulation of London reported that the hippocampus is engaged at the start of navigating this highly familiar environment.
“One study involving London taxi drivers navigating a virtual simulation of London (UK) reported that the hippocampus is engaged at the start of navigating this highly familiar environment (Spiers and Maguire 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Spiers and Maguire 2006 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMTT/TTT predicts that the hippocampus, and in particular the posterior hippocampus, would play a more important role if detailed processing is required.
“with MTT/TTT predicting that the hippocampus, and in particular the posterior hippocampus, would play a more important role if detailed processing is required (Poppenk et al. 2013).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Poppenk et al. 2013 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenNo participants had any abrupt motion changes over 4 mm.
“No participants had any abrupt motion changes over 4 mm.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningPath distance was entered independently as a parametric regressor in analyses, and results were checked when including ED along with PD to establish robustness.
“Therefore, we entered path distance independently as a parametric regressor in our analyses, as this was the main focus of our task. However, we also checked our results when including ED along with PD, to establish the robustness of our findings, even with highly correlated regressors.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Study design and conductown dataIncluding Euclidean distance in the models investigating parametric effects of path distance replicated the path distance results, and all effects survive small-volume correction including when ED is added.
“We included ED in the models investigating parametric effects of PD. We replicated the PD results, emphasizing the robustness of these effects (see Table S4), despite highly correlated parametric regressors (see Table S1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll results reported are displayed at P = 0.005 uncorrected.
“All results reported are displayed at P = 0.005 uncorrected”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe hippocampus mask was a combination of right mid and posterior sections, a priori based on Howard et al. 2014.
“The hippocampus mask was a combination of right mid and posterior sections (a priori based on the results of Howard et al. 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Howard et al. 2014 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataOne participant was excluded due to below chance performance during the fMRI session, resulting in a final sample of 25 subjects.
“We collected 26 datasets, but one participant was excluded due to below chance performance during the fMRI session, resulting in the final sample of 25 subjects”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSmall-volume correction (P < 0.05) was performed using anatomical masks.
“Small-volume correction (P < 0.05) was performed using anatomical masks (as described in detail in the Methods section).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe retrosplenial mask was based on the anatomical retrosplenial cortex specifically (BA 29/30).
“The retrosplenial mask was based on the anatomical restrosplenial cortex specifically (BA 29/30).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningA trial-by-trial inverse efficiency score (RT/mean accuracy) was included as a regressor when modeling Decision Points to control for potential differences in brain activation due to reaction time differences in the familiarity condition.
“To control for potential differences in brain activation due to reaction time differences in the familiarity condition, we included a trial-by-trial inverse efficiency score (RT/mean accuracy) as a regressor when modeling the Decision Points.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe scan coverage made it impossible to assess the contribution of the entorhinal cortex to the coding of distance.
“making it impossible to assess the contribution of the entorhinal cortex to the coding of distance, as was reported in Howard et al.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Howard et al.
Not checked in the free run.
May combine two claims.
PremisecitationDistance tracking is not automatic and requires goal-directed navigation.
“such distance tracking is not automatic and requires goal-directed navigation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Howard et al. 2014 source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe correlation of hippocampal activity to distance to goal during travel periods in recently learned environment agrees with prior fMRI reports of similar coding and supports models which argue the hippocampus computes information about the future path to goal for navigational guidance.
“The correlation of hippocampal activity to distance to goal during travel periods in navigation routes in the recently learned environment agrees with prior fMRI reports of similar coding (Viard et al. 2011; Sherrill et al. 2013; Howard et al. 2014; Balaguer et al. 2016) and supports models which argue the hippocampus computes information about the future path to goal for navigational guidance (Er”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataTwo subjects did not have segments long enough for the goal-straight-ahead analysis and were excluded.
“Two subjects did not have segments long enough (this depended on the routes they were given and some routes had shorter “goal approach” segments) and were not included in the analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe present study observed evidence for continued hippocampal engagement in an environment learned 2 years prior to testing, which is at odds with SCT.
“Firstly, we observed evidence for continued hippocampal engagement in an environment learned 2 years prior to testing, which is at odds with SCT.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationRecent evidence indicates that turns in a path and familiarity with an environment can impact representations of distance.
“Recent evidence indicates that turns in a path and the familiarity with an environment can also impact on representations of distance (Bonasia et al. 2016; Jafarpour and Spiers 2016; Brunec et al. 2017).”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationIt has remained unclear which brain regions are responsible for spatial processing in highly familiar environments.
“It has remained unclear which brain regions are responsible for spatial processing in highly familiar environments (Spiers and Maguire 2007b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spiers and Maguire 2007b
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior neuropsychological research has consistently indicated the dominance of the right hemisphere in processing spatial information.
“Prior neuropsychological research has consistently indicated the dominance of the right hemisphere in processing spatial information (Spiers et al. 2001; Burgess et al. 2001, 2002)”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe present findings are broadly consistent with fMRI evidence that retrosplenial cortex activity is positively correlated with distance back to the start of a simple circular journey.
“Our findings are broadly consistent with fMRI evidence that retrosplenial cortex activity is positively correlated with the distance back to the start of a simple circular journey (Chrastil et al. 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chrastil et al. 2015 source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe present study found a transformation in the direction of the correlation between the hippocampus and distance to the goal during travel periods when familiar environments were compared with recently learned environments; this reversal suggests that the computations and/or type of information represented in the hippocampus changes with consolidation.
“Secondly, we found a transformation in the direction of the correlation between the hippocampus and the distance to the goal during travel periods when familiar environments were compared with recently learned environment. This reversal suggests that the computations and/or the type of information that is represented in the hippocampus changes with consolidation.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationDominant accounts of memory consolidation, SCT and MTT/TTT, both claim that with passage of time and experience, performance on some tasks becomes independent of the hippocampus and comes to rely on extra-hippocampal structures such as the retrosplenial cortex.
“Dominant accounts of memory consolidation, SCT, and MTT/TTT, both claim that with the passage of time and experience, performance on some tasks becomes independent of the hippocampus and comes to rely on extra-hippocampal structures such as the retrosplenial cortex (Marr 1971; Alvarez and Squire 1994; Frankland and Bontempi 2005; Winocur and Moscovitch 2011; Sekeres et al. 2018).”
Quote in the paperSubstantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationThe retrosplenial cortex has been posited as supporting long-term spatial knowledge.
“One brain region posited as supporting this long-term knowledge has been the retrosplenial cortex (Spiers and Maguire 2007b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spiers and Maguire 2007b
Not checked in the free run.
May combine two claims.
InterpretationcitationThe observation that retrosplenial cortex only comes to code distance to goal after extended experience with the environment is consistent with several past studies which have observed increased activity in retrosplenial cortex with acquisition of spatial knowledge.
“Our observation that retrosplenial cortex only comes to code the distance to the goal after extended experience with the environment is consistent with several past studies which have observed increased activity in the retrosplenial cortex with the acquisition of spatial knowledge about an environment (Wolbers and Büchel 2005; Auger et al. 2012, 2015).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Wolbers and Büchel 2005
Not checked in the free run.
- cites Auger et al. 2012 source
Not checked in the free run.
- cites Auger et al. 2015
Not checked in the free run.
May combine two claims.
Interpretationown dataThe present data supports models in which there is change in demand on brain regions with extended consolidation of memories of an environment, with retrosplenial cortex specifically tracking distance to goal in familiar environments and hippocampus tracking goal distance in recent environments and also familiar environments when future route contains many turns.
“Our data supports models in which there is change in demand on brain regions with extended consolidation of the memories of an environment, with the retrosplenial cortex specifically tracking the distance to the goal in familiar environments and the hippocampus tracking goal distance in recent environments and also familiar environments when the future route contains many turns.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The crucial difference between the familiar and recent environments was the long-term (>2 year) prior knowledge of one campus, after both campuses were intensively trained in the preceding days.
“ensuring that the crucial difference between the 2 environments was the long-term (>2 year) prior knowledge of one of them.”
The paper relies on this without support.
The virtual simulation of the campuses using Google Maps Street View panoramas is a valid model of real-world navigation that engages the same spatial representations as real-world navigation.
“The task in the scanner was designed to simulate walking through the campuses, by using panorama images from Google Maps Street View”
The paper relies on this without support.
Extensive systems-level consolidation has transformed mnemonic representations in highly familiar environments.
“where extensive systems-level consolidation is thought to have transformed mnemonic representations.”
The paper relies on this without support.
Participants' debriefing reports accurately reflect their planning during scanning.
“Participants were instructed to report what they remembered thinking during the navigation, not what they should have done”
The paper relies on this without support.
The environment used by Howard et al. (2014) contained more junctions than the environments used in the present study, so most routes in that study likely required many turns.
“Notably, the environment used by Howard et al. (2014) (Soho, London, UK) contained more junctions to navigate across compared with the environments we used, thus most routes examined would likely have required many turns.”
The paper relies on this without support.
Soho contains many more distinct landmarks than the campuses used in the present study.
“Soho contains many more distinct landmarks than the campuses we used.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Such a representation might take a schematic form, such that similar distances across different environments are processed similarly or by the same neural populations in the RSC.
“Such a representation might take a schematic form, such that similar distances across different environments are processed similarly or by the same neural populations in the RSC 153,154 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [153]
In our recent research, the RSC was found to code distance to goals in well-known, real-world environments, but not in recently learned environments.
“In our recent research, the RSC was found to code distance to goals in well-known, real-world environments, but not in recently learned environments 153 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [153]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Some routes had only one new goal event
MinorThe paper says each route had multiple new goal locations, but the reported range includes routes with just one new goal event.
“Each route had multiple New Goal Locations.”
“The routes (trials) lasted around 3 min each, with an average of 3 NGEs per route (range: 1–6).”
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Self-citationA central role for the retrosplenial cortex in de novo environmental learning
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“Recent evidence indicates that turns in a path and the familiarity with an environment can also impact on representations of distance (Bonasia et al. 2016; Jafarpour and Spiers 2016; Brunec et al. 2017).”
BackgroundSelf-citationRetrosplenial Cortical Representations of Space and Future Goal Locations Develop with Learning
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Familiarity expands space and contracts time
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Self-citationEpisodic memory, semantic memory, and amnesia
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The cognitive map in humans: spatial navigation and beyond
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BackgroundStructuring knowledge with cognitive maps and cognitive graphs
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Turns during navigation act as boundaries that enhance spatial memory and expand time estimation
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A neural circuit for spatial orientation derived from brain lesions
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Extending neural systems for navigation to hunting behavior
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Self-citationDistance and grid-like codes support the navigation of abstract social space in the human brain
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London taxi drivers exploit neighbourhood boundaries for hierarchical route planning
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Self-citationGoal-centered representations in the human hippocampusPreprint
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Determinants of individual navigation ability
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Self-citationA brain-like navigation method inspired by the spatial cells’ cognitive mechanism
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Distance and grid-like codes support the navigation of abstract social space in the human brain
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Learning ‘ The Knowledge’ : How London Taxi Drivers Build Their Cognitive Map of LondonPreprint
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Self-citationSPACE: A novel digital tool for assessing hippocampal structural integrity in older adults
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Dramatic changes to well-known places go unnoticed
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Memory consolidation affects the interplay of place and response navigation
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Brain Bases for Navigating Acoustic Features
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Dramatic changes to well-known places go unnoticed
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Impoverished recall of sensory details along infrequently travelled routes in aphantasia
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Self-citationLong-term Memory Reorganization of Navigational Episodes
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“However, it has remained equivocal whether consolidation-related changes in brain activation are mainly driven by time-related factors or the demands of the task 13,15,30 .”
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Self-citationA Scale-Dependent Neural System for Human Spatial NavigationPreprint
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Effects of brain lesions on human spatial navigation
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Spatial updating in amnesia using an eye movement analogue of a path integration task
Khosla, A., Rosenbaum, R. S., Moscovitch, M., & Ryan, J. D. (2025) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2025.109354
Self-citationSun, L., Liu, Q., Li, S., Ding, W., Li, Z., Li, K. X., Qu, W., & Liang, X. (2026) · Communications Biology · doi:10.1038/s42003-026-09554-6
- Authors
- Patai, E. Z., Javadi, A.-H., Ozubko, J. D., O’Callaghan, A., Ji, S., Robin, J., Grady, C., Winocur, G., Rosenbaum, R. S., Moscovitch, M., & Spiers, H. J.
- Affiliations
- University College London (GB)
- University of Kent (GB)
- SUNY Geneseo (US)
- University of Toronto (CA)
- York University (CA)
- Corresponding author
- Spiers, Hugo J
- ORCID
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-02-20
- Volume
- 29
- Issue
- 6
- Pages
- 2748-2758
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC6519689
- OpenAlex
- W2923481172
- Cited by
- 102
- References
- 75
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 17 · 2023: 14 · 2022: 12 · 2021: 15 · 2020: 9 · 2019: 6 · 2018: 5 · 2017: 3
- FWCI
- 6.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cerebral Cortex (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- HJS
- James S. McDonnell Foundation
- Canadian Institute of Health Research (# 49566)
- MM and SR
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- hippocampus, retrosplenial cortex, spatial navigation, systems consolidation, familiar environment, virtual navigation, external cues, route complexity, spatial memory
- MeSH terms
- Brain Mapping, Female, Goals, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Temporal Lobe, Young Adult, Spatial Memory, Spatial Learning, Spatial Navigation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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